Predicting bankruptcy of Finnish limited liability companies from historical financial statements

This master’s thesis studies the probability of bankruptcy of Finnish limited liability companies as a part of credit risk assessment. The main idea of this thesis is to build and test bankruptcy prediction models for Finnish limited liability companies that can be utilized in credit decision making. The data used in this thesis consists of historical financial statements from 2112 Finnish limited liability companies, half of which have filed for bankruptcy. A total of four models are developed, two with logistic regression and two with multivariate discriminant analysis (MDA). The time horizon of the models varies from 1 to 2 years prior to the bankruptcy, and 14 different financial variables are used in the model formation. The results show that the prediction accuracy of the models ranges between 81.7% and 88.9%, and the best prediction accuracy is achieved with the one year prior the bankruptcy logistic regression model. However the difference between the best logistic model and the best MDA model is minimal. Overall based on the results of this thesis it can be concluded that predicting bankruptcy is possible to some extent, but naturally the results are not perfect.

Parameter identification in time series models

Time series analysis can be categorized into three different approaches: classical, Box-Jenkins, and State space. Classical approach makes a basement for the analysis and Box-Jenkins approach is an improvement of the classical approach and deals with stationary time series. State space approach allows time variant factors and covers up a broader area of time series analysis. This thesis focuses on parameter identifiablity of different parameter estimation methods such as LSQ, Yule-Walker, MLE which are used in the above time series analysis approaches. Also the Kalman filter method and smoothing techniques are integrated with the state space approach and MLE method to estimate parameters allowing them to change over time. Parameter estimation is carried out by repeating estimation and integrating with MCMC and inspect how well different estimation methods can identify the optimal model parameters. Identification is performed in probabilistic and general senses and compare the results in order to study and represent identifiability more informative way.

Sentinel node biopsy in breast cancer: results in a large series

Sentinel lymph node biopsy (SLNB) is an appropriate method for the evaluation of axillary status in cases of early breast cancer. We report our experience in treating cases evaluated using SLNB. We analyzed a total of 1192 cases assessed by means of SLNB from July 1999 to December 2007. SLNB processing was successfully completed in 1154 cases with the use of blue dye or radiolabeled 99mTc-Dextran-500, or both. Of these 1154 patients, 857 were N0(i-) (no regional lymph node metastasis, negative immunohistochemistry, IHC), 96 were N0(i+) (no regional lymph node metastasis histologically, positive IHC, no IHC cluster greater than 0.2 mm) and 201 were N1mi (greater than 0.2 mm, none greater than 2.0 mm). Most of the tumors (70%) were invasive ductal carcinomas and tumors were staged as T1 in 770 patients (65%). A total of 274 patients underwent SLNB and axillary dissections up to April 2003. The inclusion criteria were tumor size equal to or less than 3 cm in diameter, no clinically palpable axillary lymph nodes, no neoadjuvant therapy. In 19 cases, the SLN could not be identified intraoperatively. A false-negative rate of 11% and a negative predictive value of 88.2% were obtained for the 255 assessable patients. The overall concordance between SLNB and axillary lymph node status was 92%. SLNB sensitivity for nodes was 81% and specificity was 100%. The higher sensitivity, specificity, accuracy, and lower false-negative rates of SLNB suggest that this method may be an appropriate alternative to total axillary dissection in early breast cancer patients.

Early detection of metabolic and energy disorders by thermal time series stochastic complexity analysis

Maintenance of thermal homeostasis in rats fed a high-fat diet (HFD) is associated with changes in their thermal balance. The thermodynamic relationship between heat dissipation and energy storage is altered by the ingestion of high-energy diet content. Observation of thermal registers of core temperature behavior, in humans and rodents, permits identification of some characteristics of time series, such as autoreference and stationarity that fit adequately to a stochastic analysis. To identify this change, we used, for the first time, a stochastic autoregressive model, the concepts of which match those associated with physiological systems involved and applied in male HFD rats compared with their appropriate standard food intake age-matched male controls (n=7 per group). By analyzing a recorded temperature time series, we were able to identify when thermal homeostasis would be affected by a new diet. The autoregressive time series model (AR model) was used to predict the occurrence of thermal homeostasis, and this model proved to be very effective in distinguishing such a physiological disorder. Thus, we infer from the results of our study that maximum entropy distribution as a means for stochastic characterization of temperature time series registers may be established as an important and early tool to aid in the diagnosis and prevention of metabolic diseases due to their ability to detect small variations in thermal profile.

A time series analysis of meteorological factors and hospital outpatient admissions for cardiovascular disease in the Northern district of Guizhou Province, China

Findings on the effects of weather on health, especially the effects of ambient temperature on overall morbidity, remain inconsistent. We conducted a time series study to examine the acute effects of meteorological factors (mainly air temperature) on daily hospital outpatient admissions for cardiovascular disease (CVD) in Zunyi City, China, from January 1, 2007 to November 30, 2009. We used the generalized additive model with penalized splines to analyze hospital outpatient admissions, climatic parameters, and covariate data. Results show that, in Zunyi, air temperature was associated with hospital outpatient admission for CVD. When air temperature was less than 10°C, hospital outpatient admissions for CVD increased 1.07-fold with each increase of 1°C, and when air temperature was more than 10°C, an increase in air temperature by 1°C was associated with a 0.99-fold decrease in hospital outpatient admissions for CVD over the previous year. Our analyses provided statistically significant evidence that in China meteorological factors have adverse effects on the health of the general population. Further research with consistent methodology is needed to clarify the magnitude of these effects and to show which populations and individuals are vulnerable.

Market anomalies and tactical asset allocation: Utilising market anomalies in multiple asset class portfolios with the Black−Litterman model

This thesis discusses the basic problem of the modern portfolio theory about how to optimise the perfect allocation for an investment portfolio. The theory provides a solution for an efficient portfolio, which minimises the risk of the portfolio with respect to the expected return. A central feature for all the portfolios on the efficient frontier is that the investor needs to provide the expected return for each asset. Market anomalies are persistent patterns seen in the financial markets, which cannot be explained with the current asset pricing theory. The goal of this thesis is to study whether these anomalies can be observed among different asset classes. Finally, if persistent patterns are found, it is investigated whether the anomalies hold valuable information for determining the expected returns used in the portfolio optimization Market anomalies and investment strategies based on them are studied with a rolling estimation window, where the return for the following period is always based on historical information. This is also crucial when rebalancing the portfolio. The anomalies investigated within this thesis are value, momentum, reversal, and idiosyncratic volatility. The research data includes price series of country level stock indices, government bonds, currencies, and commodities. The modern portfolio theory and the views given by the anomalies are combined by utilising the Black-Litterman model. This makes it possible to optimise the portfolio so that investor’s views are taken into account. When constructing the portfolios, the goal is to maximise the Sharpe ratio. Significance of the results is studied by assessing if the strategy yields excess returns in a relation to those explained by the threefactormodel. The most outstanding finding is that anomaly based factors include valuable information to enhance efficient portfolio diversification. When the highest Sharpe ratios for each asset class are picked from the test factors and applied to the Black−Litterman model, the final portfolio results in superior riskreturn combination. The highest Sharpe ratios are provided by momentum strategy for stocks and long-term reversal for the rest of the asset classes. Additionally, a strategy based on the value effect was highly appealing, and it basically performs as well as the previously mentioned Sharpe strategy. When studying the anomalies, it is found, that 12-month momentum is the strongest effect, especially for stock indices. In addition, a high idiosyncratic volatility seems to be positively correlated with country indices on stocks.

Finland's security in a changing Europe : a historical perspective

Finnish Defence Studies is published under the auspices of the National Defence College, and the contributions reflect the fields of research and teaching of the College. Finnish Defence Studies will occasionally feature documentation on Finnish Security Policy. Views expressed are those of the authors and do not necessarily imply endorsement by the National Defence College.

Historical origins of Brazilian relative backwardness

This paper relies on some data to identify the 19th century as the major period in which Brazil economy lagged behind some chosen benchmarking countries, as the USA, Canada, New Zealand, Australia and some European periphery countries. To identify the reasons for this an exercise using immigration data was used to make a decomposition of the sources of growth of the proportion of the USA per capita GDP to the Brazilian one. The results indicate that the imported human capital was responsible for 59% to 88% of this total growth between 1820 and 1900.

The developmental state in Brazil: comparative and historical perspectives

The record of successful developmental states in East Asia and the partial successes of developmental states in Latin America suggest several common preconditions for effective state intervention including a Weberian bureaucracy, monitoring of implementation, reciprocity (subsidies in exchange for performance), and collaborative relations between government and business. Although Brazil failed to develop the high technology manufacturing industry and exports that have fueled sustained growth in East Asia, its developmental state had a number of important, and often neglected, successes, especially in steel, automobiles, mining, ethanol, and aircraft manufacturing. Where Brazil's developmental state was less successful was in promoting sectors like information technology and nuclear energy, as well as overall social and regional equality. In addition, some isolated initiatives by state governments were also effective in promoting particular local segments of industry and agriculture. Comparisons with East Asia, highlight the central role of state enterprises in Brazil that in effect internalized monitoring and reciprocity and bypassed collaboration between business and government (that was overall rarer in Brazil).

A year after Crimea: continuity and change of Finnish-Russian relations reflected in the views of the government officials of Finland and Russia

This thesis discusses the dynamism of bilateral relations between Finland and Russia and their interconnection with wider EU-Russia relations in the sight of the recent conflict in Ukraine. In particular, incorporation of Crimea in the territory of Russia in March 2014 is believed to have triggered a series of disputes between the European Union and Russia and thus, have impacted the course of the bilateral Finnish-Russian relations. The study leans on a premise that there are some historical traditions and regularities in the Finnish foreign policy course towards Russia which make the bilateral Finnish-Russian relations special. These traditions are distinguished and described in the book “Russia Forever? Towards Pragmatism in Finnish/Russian relations” (2008) edited by H. Rytövuori-Apunen. Assuming that the featured traditions take place in modern relations between Finland and Russia, the aim of the thesis is to find out how these traditions reappear during the year shaped by the events in Ukraine. In order to do that, author follows the timeline of happenings around the Ukraine crisis starting with Crimea’s referendum on independence, and exams the way these events were commented on and evaluated by the key government officials and political institutions of Finland and Russia. The main focus is given to the Finnish official discourse on Russia during the study period. The data collection, consisting of mostly primary sources (ministerial press releases and comments, statements, speeches and blog posts of individual policy makers) is processed using the thematic analysis supported by the content analysis. The study reveals that the consequences of the Ukraine crisis have brought, among others, complications to the economic cooperation between Finland and Russia, and have stimulated the increased attention of the Finnish decision makers to the country’s security questions. As a result, the character and importance of some historical regularities of the Finnish foreign policies on Russia, like the Continental Dilemma, have taken new shape.

Kant and zeno of elea: historical precedents of the "sceptical method"

For Kant's interpretation of Zeno in KrV A502-507/B530-535, scholars have usually referred to Plato's Phaedrus (261d); in reality the sources Kant uses are, on one hand, Brucker (who depends in turn on the pseudo-Aristotelian De Melisso, Xenophane, et Gorgia, 977 b 2-21), and, on the other, Plato's Parmenides (135e6-136b1) and Proclus' commentary on it, as quoted by Gassendi in a popular textbook he wrote on the history of logic.

Alhaisen volatiliteetin anomalia Suomen osakemarkkinoilla

Tutkielman tavoitteena on selvittää esiintyykö Suomen osakemarkkinoilla alhaisen volatiliteetin anomaliaa. Tutkielman tavoitteeseen vastataan työn empiirisessä osassa analysoimalla Suomen osakemarkkinoilla listattujen osakkeiden tuottoaikasarjoja. Tutkielmassa tarkastellaan myös finanssikriisin vaikutusta anomalian ilmenemiseen. Tutkimus sijoittuu aikavälille tammikuusta 2001 tammikuuhun 2015. Tutkielmassa muodostetaan portfolioita osakkeiden historiallisen volatiliteetin mukaan. Näiden portfolioiden menestymistä suhteessa markkinoihin arvioidaan absoluuttisten tuottojen, Sharpen luvun sekä Jensenin alfan avulla. Markkinaindekseinä käytetään OMXH CAP -indeksiä sekä tutkimusaineiston pohjalta muodostettua markkinaportfoliota. Kaikkein parhaimman absoluuttisen tuoton on saanut vuodesta 2001 vuoteen 2015 sijoittamalla keskiverron volatiliteetin osakkeisiin. Parhaan riskikorjatun tuoton on kuitenkin saavuttanut sijoittamalla alhaisen volatiliteetin osakkeisiin. Tutkielmassa löydetään todisteita alhaisen volatiliteetin anomalian esiintymisestä Suomen osakemarkkinoilla koko tutkimusaineisto huomioon ottaen. Tutkielman ehkä mielenkiintoisin löydös on kuitenkin huomio alhaisen volatiliteetin anomalian häviämisestä Suomen osakemarkkinoilta finanssikriisin jälkeen. Ennen finanssikriisiä esiintynyt erittäin vahva alhaisen volatiliteetin osakkeiden ylisuoriutuminen hävisi täysin finanssikriisin jälkeen. Toisin sanoen riskin ja tuoton suhde on kääntynyt päälaelleen finanssikriisin jälkeen, eikä alhaisen volatiliteetin anomaliaa voida enää sanoa esiintyvän.